I'm a Software Engineer and Computer Science Master's student at Texas Tech University focused on building practical software using Generative AI, RAG, LLMs, iOS, cloud technologies, and full-stack development.
I enjoy turning ideas into polished products with clean UI, strong architecture, and real user value.
struct NagarjunaReddy {
let location = "Texas, USA"
let education = "Master's in Computer Science, Texas Tech University"
let focus = ["Generative AI", "Machine Learning", "RAG", "iOS", "Full Stack"]
let currentMission = "Build useful AI products with clean design, strong UX, and real-world impact"
let mindset = "Learn fast. Build deeply. Ship consistently."
}Full-Time Software Engineering opportunities, including:
- Software Engineer
- Backend Engineer
- Full Stack Engineer
- AI / ML Engineer
- Generative AI Engineer
- RAG / LLM Engineer
- Cloud / DevOps Engineer
- iOS / Swift Engineer
I'm especially interested in teams building AI-powered products, developer tools, cloud systems, and user-focused applications.
|
I build reusable AI coding systems that help tools like Claude Code, Cursor, Codex, Copilot, and Gemini generate better structured software instead of simple demo code. Main focus: AI coding workflows, agent rules, iOS architecture, production checklists, reusable development skills. |
I create iOS app concepts focused on clean UX, local storage, smooth animations, SwiftUI, and privacy-first product design. Main focus: SwiftUI, SwiftData, offline apps, local-first tools, on-device AI, polished mobile experiences. |
|
I work on AI tutor systems, document Q&A, embeddings, vector search, local inference, and hallucination-reducing workflows. Main focus: RAG, LLMs, Qdrant, Chroma, sentence transformers, local models, educational AI. |
I also build portfolios, deal tools, dashboards, web apps, and experiments using React, JavaScript, Python, Node.js, and cloud tools. Main focus: React, TypeScript, Python, APIs, AWS, automation, product building. |
AI-assisted iOS development toolkit designed to help AI coding agents generate structured, production-oriented Swift and SwiftUI applications.
Focus: Swift, SwiftUI, iOS Architecture, AI Agents, Developer Tools
A multi-agent knowledge retrieval system using RAG, vector search, routing, and self-correction to answer questions over large document collections.
Focus: Python, LangGraph, RAG, Vector Search, LLMs, FastAPI, Docker, AWS
Privacy-focused notes and canvas application designed around local-first storage and a clean writing experience.
Focus: SwiftUI, SwiftData, iOS, Local Storage
An offline AI chatbot concept focused on running models locally without requiring cloud-based conversations.
Focus: Python, LLMs, Local Inference, AI
|
A structured skill pack for AI coding tools to build better iOS and Swift apps with architecture, Apple framework guidance, reusable patterns, and production checklists. |
A privacy-first notes and canvas app idea focused on local storage, clean writing, notebooks, canvases, and personal productivity. |
An offline AI chatbot concept where models run on-device with no accounts, no cloud dependency, and no data leaving the phone. |
|
An iPhone system-monitor style app inspired by Windows Task Manager, focused on useful device insights and strong mobile UI. |
A RAG-powered educational assistant designed for question answering, retrieval, and student-friendly explanations. |
A Python-based deal discovery experiment focused on finding useful products, offers, and practical savings workflows. |
|
A local-first iOS notes app with writing, canvas thinking, smart organization, and private AI assistance. Stack: SwiftUI, SwiftData, Local AI |
An AI research assistant that reads documents, searches sources, summarizes findings, and creates grounded answers. Stack: Python, RAG, Vector DB |
A full-stack job search assistant that tracks jobs, improves resumes, writes cover letters, and organizes applications. Stack: React, Node.js, AI |
A collection of SwiftUI animations, liquid glass UI experiments, onboarding screens, and production-ready mobile patterns. Stack: SwiftUI, Motion, UX |
|
A smart storage experiment focused on private file organization, fast upload flows, and clean mobile-first storage UX. Stack: iOS, Cloud, Storage |
A simple app that helps users decide what to eat, what to do, and how to plan their day based on personal constraints. Stack: Mobile, Rules Engine, UX |
A developer tool for running local models, testing prompts, comparing responses, and connecting apps to local inference. Stack: Docker, Python, LLMs |
A growing collection of reusable AI coding skills for frontend, backend, iOS, RAG, SaaS, automation, and product building. Stack: GitHub, AI Agents, Docs |
AI Agent Skills ████████████████████ 100%
iOS Product Development ███████████████████░ 95%
RAG and LLM Systems ██████████████████░░ 90%
Full Stack Engineering █████████████████░░░ 85%
Product UI and Motion ████████████████░░░░ 80%
Cloud and DevOps ███████████████░░░░░ 75%
I do not just build code. I think about users, design, workflow, and real-world usefulness. |
I use AI tools deeply for research, coding, architecture, automation, and product iteration. |
Many of my ideas focus on local-first storage, offline AI, and user-controlled data. |
I care about building projects publicly, improving fast, and turning ideas into usable products. |
Simple outside. Powerful inside. Useful in real life.
I believe great software is not just about code. It is about solving a real problem, making the interface feel natural, and building systems that people can actually trust.
Open to full-time opportunities • Building useful software • Always learning